Comments (4)
The main idea is that you can somewhat safely assume that each cluster (ie. test group) is different from the rest (ie. train group). The downside is that it might be hard to guarantee somewhat equal K-Fold sizes. We'll see though.
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wasn't this merged?
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I think I reopened because of the bug in the tests. Can be closed now.
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Related Issues (20)
- Broken Deployment HOT 6
- [DOCS] Add bayesian methods to GMM density page.
- Mention other, preferred, packages in docs HOT 3
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- [FEATURE] VarianceThresholdClassifier HOT 1
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- [DOCS] Proposed addition: Adding a Quickstart or Overall User Guide Landing Page
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- [BUG] Rename `transform_train` to `resample`. HOT 8
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- `decomposition.umap_reconstruction.UMAPOutlierDetection` HOT 4
- Delegate Missing Values and Categorical Handling in `GrouperTransformer` and `GrouperPredictor` HOT 6
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